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Detection of multiple specific adventitious viruses in viral gene therapy products using multiplex PCR coupled with capillary electrophoresis
Guangyu Wang, Lingli Xu, Lei Yu, Xinchang Shi, Xi Qin, Yong Zhou
 doi: 10.1016/j.jpha.2024.101096
[Abstract](0) [PDF 0KB](0)
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Permeable polydimethylsiloxane microneedles for the delivery of traditional Chinese medicine elemene
Qingchang Tian, Mengmeng Liu, Yiqiu Wang, Zhaoming Li, Daizhou Zhang, Tian Xie, Shuling Wang
 doi: 10.1016/j.jpha.2024.101094
[Abstract](0) [PDF 1743KB](0)
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Urease-powered micro/nanomotors: Current progress and challenges
Wen-Wen Li, Zi-Li Yu, Jun Jia
 doi: 10.1016/j.jpha.2024.101095
[Abstract](0) [PDF 42873KB](0)
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Enzyme-powered micro/nanomotors (EMNMs) use natural enzymes to facilitate the decomposition of fuels, including hydrogen peroxide (H2O2), glucose, triglycerides, and urea to provide power. EMNMs can achieve self-propulsion through the in situ utilization of biofuels without additional fuels, exhibiting excellent biocompatibility and significant potential for application in the biomedical field. Compared with H2O2, which may cause oxidative damage to the body, urea exhibits superior biosafety characteristics. Presently, urease-powered MNMs (UMNMs) have made notable progress in their applications in the biomedical field and have garnered considerable attention from researchers. In this review, we present the latest advancements in the biomedical field of UMNMs, primarily focusing on: 1) diverse materials used for constructing the fundamental framework of motors; 2) control of motor movement through the regulation of enzymatic reaction rates; and 3) research directions for the clinical application of motors including in vivo imaging, biomarker detection, cancer treatment, optical therapy, overcoming biological barriers, antibacterial interventions, antithrombotic strategies, and gastric disease management. Despite showing immense potential in biomedical applications, there are still several challenges impeding its practical implementation, such as maintaining activity in the in vivo environment while accurately targeting specific sites to achieve the desired clinical therapeutic effects.
Application of Lipidomics in the Study of Traditional Chinese Medicine
Yang Yang, Guangyi Yangc, Wenpeng Zhang, Lingyi Xin, Jing Zhu, HangtianWang, Baodong Feng, Renyan Liu, Shuya Zhang, Yuanwu Cui, Qinhua Chen, Dean Guo
 doi: 10.1016/j.jpha.2024.101083
[Abstract](16) [PDF 1452KB](2)
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Lipidomics is an emerging discipline that systematically studies the various types, functions, and metabolic pathways of lipids within living organisms. This field compares changes in diseases or drug impact, identifying biomarkers and molecular mechanisms present in lipid metabolic networks across different physiological or pathological states. Through employing analytical chemistry within the realm of lipidomics, researchers analyze traditional Chinese medicine (TCM). This analysis aids in uncovering potential mechanisms for treating diverse physiopathological conditions, assessing drug efficacy, understanding mechanisms of action and toxicity, and generating innovative ideas for disease prevention and treatment. This manuscript assesses recent literature, summarizing existing lipidomics technologies and their applications in TCM research. It delineates the efficacy, mechanisms, and toxicity research related to lipidomics in Chinese medicine. Additionally, it explores the utilization of lipidomics in quality control research for Chinese medicine, aiming to expand the application of lipidomics within this field. Ultimately, this initiative seeks to foster the integration of traditional medicine theory with modern science and technology, promoting an organic fusion between the two domains.
A review of transformers in drug discovery and beyond
Jian Jiang, Long Chen, Lu Ke, Bozheng Dou, Chunhuan Zhang, Hongsong Feng, Yueying Zhu, Huahai Qiu, Bengong Zhang, Guowei Wei
 doi: 10.1016/j.jpha.2024.101081
[Abstract](12) [PDF 4677KB](1)
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Transformer models have emerged as pivotal tools within the realm of drug discovery, distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes. Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data, these models showcase remarkable efficacy across various tasks, including new drug design and drug target identification. The adaptability of pre-trained transformer-based models renders them indispensable assets for driving data-centric advancements in drug discovery, chemistry, and biology, furnishing a robust framework that expedites innovation and discovery within these domains. Beyond their technical prowess, the success of transformer-based models in drug discovery, chemistry, and biology extends to their interdisciplinary potential, seamlessly combining biological, physical, chemical, and pharmacological insights to bridge gaps across diverse disciplines. This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields. In our review, we elucidate the myriad applications of transformers in drug discovery, as well as chemistry and biology, spanning from protein design and protein engineering, to molecular dynamics, drug target identification, transformer-enabled drug virtual screening, drug lead optimization, drug addiction, small data set challenges, chemical and biological image analysis, chemical language understanding, and single cell data. Finally, we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.
Screen of FDA-approved drug library identifies Vitamin K as anti-ferroptotic drug for osteoarthritis therapy through Gas6
Yifeng Shi, Sunlong Li, Shuhao Zhang, Caiyu Yu, Jiansen Miao, Shu Yang, Yan Chen, Yuxuan Zhu, Xiaoxiao Huang, Chencheng Zhou, Hongwei Ouyang, Xiaolei Zhang, Xiangyang Wang
 doi: 10.1016/j.jpha.2024.101092
[Abstract](23) [PDF 16496KB](7)
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Ferroptosis of chondrocytes is a significant contributor to osteoarthritis (OA), for which there is still a lack of safe and effective therapeutic drugs targeting ferroptosis. Here, we screen for anti-ferroptotic drugs in Food and Drug Administration (FDA)-approved drug library via a high-throughput manner in chondrocytes. We identified a group of FDA-approved anti- ferroptotic drugs, among which vitamin K showed the most powerful protective effect. Further study demonstrated that vitamin K effectively inhibited ferroptosis and alleviated the extracellular matrix (ECM) degradation in chondrocytes. Intra-articular injection of vitamin K inhibited ferroptosis and alleviated OA phenotype in destabilization of the medial meniscus (DMM) mouse model. Mechanistically, transcriptome sequencing and knockdown experiments revealed that the anti-ferroptotic effects of vitamin K depended on growth arrest–specific 6 (Gas6). Furthermore, exogenous expression of Gas6 was found to inhibit ferroptosis through the AXL/PI3K/AKT axis. Together, we demonstrate that vitamin K inhibits ferroptosis and alleviates OA progression via enhancing Gas6 expression and its downstream pathway of AXL/PI3K/AKT axis, indicating vitamin K as well as Gas6 to serve as a potential therapeutic target for OA and other ferroptosis-related diseases.
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Review papers
Extracellular vesicles in anti-tumor drug resistance: Mechanisms and therapeutic prospects
Hao-Yang Cheng, Guang-Liang Su, Yu-Xuan Wu, Gang Chen, Zi-Li Yu
2024, 14(7): 100920.   doi: 10.1016/j.jpha.2023.12.010
Abstract(165) HTML Full Text PDF(15)
Abstract:

Drug resistance presents a significant challenge to achieving positive clinical outcomes in anti-tumor therapy. Prior research has illuminated reasons behind drug resistance, including increased drug efflux, alterations in drug targets, and abnormal activation of oncogenic pathways. However, there's a need for deeper investigation into the impact of drug-resistant cells on parental tumor cells and intricate crosstalk between tumor cells and the malignant tumor microenvironment (TME). Recent studies on extracellular vesicles (EVs) have provided valuable insights. EVs are membrane-bound particles secreted by all cells, mediating cell-to-cell communication. They contain functional cargoes like DNA, RNA, lipids, proteins, and metabolites from mother cells, delivered to other cells. Notably, EVs are increasingly recognized as regulators in the resistance to anti-cancer drugs. This review aims to summarize the mechanisms of EV-mediated anti-tumor drug resistance, covering therapeutic approaches like chemotherapy, targeted therapy, immunotherapy and even radiotherapy. Detecting EV-based biomarkers to predict drug resistance assists in bypassing anti-tumor drug resistance. Additionally, targeted inhibition of EV biogenesis and secretion emerges as a promising approach to counter drug resistance. We highlight the importance of conducting in-depth mechanistic research on EVs, their cargoes, and functional approaches specifically focusing on EV subpopulations. These efforts will significantly advance the development of strategies to overcome drug resistance in anti-tumor therapy.

Mechanisms and therapeutic targets of ferroptosis: Implications for nanomedicine design
Meihong Zhang, Mengqin Guo, Yue Gao, Chuanbin Wu, Xin Pan, Zhengwei Huang
2024, 14(7): 100960.   doi: 10.1016/j.jpha.2024.03.001
Abstract(163) HTML Full Text PDF(5)
Abstract:

Ferroptosis is a nonapoptotic form of cell death and differs considerably from the well-known forms of cell death in terms of cell morphology, genetics, and biochemistry. The three primary pathways for cell ferroptosis are system Xc-/glutathione peroxidase 4 (GPX4), lipid metabolism, and ferric metabolism. Since the discovery of ferroptosis, mounting evidence has revealed its critical regulatory role in several diseases, especially as a novel potential target for cancer therapy, thereby attracting increasing attention in the fields of tumor biology and anti-tumor therapy. Accordingly, broad prospects exist for identifying ferroptosis as a potential therapeutic target. In this review, we aimed to systematically summarize the activation and defense mechanisms of ferroptosis, highlight the therapeutic targets, and discuss the design of nanomedicines for ferroptosis regulation. In addition, we opted to present the advantages and disadvantages of current ferroptosis research and provide an optimistic vision of future directions in related fields. Overall, we aim to provide new ideas for further ferroptosis research and inspire new strategies for disease diagnosis and treatment.

Global hotspots and future directions for drugs to improve the skin flap survival: A bibliometric and visualized review
Shuangmeng Jia, Jieshen Huang, Wuyan Lu, Yongen Miao, Kehua Huang, Chenzhang Shi, Shuaijun Li, Jiefeng Huang
2024, 14(7): 100948.   doi: 10.1016/j.jpha.2024.02.002
Abstract(189) HTML Full Text PDF(13)
Abstract:

Skin flaps are frequently employed in plastic and reconstructive surgery to address tissue defects. However, their low survival rates remain a challenge, attributed to vascular crisis and necrosis. Despite numerous studies investigating drugs to alleviate flap necrosis, a comprehensive analysis of the research trend in this critical area is lacking. To gain a deeper understanding of the current status, research focal points, and future trends in drugs aimed at enhancing flap survival, a thorough retrospective analysis is imperative. This study aims to employ bibliometric methods to scrutinize the evolution, mechanisms, and forthcoming trends of drugs targeting flap survival improvement. Using VOSviewer software, we quantitatively and visually depict 1) annual temporal trends in the number of documents and citations; 2) national/regional publications and their collaborations; 3) institutional and authors’ contribution; 4) journal contribution and relevance; and 5) analysis of research hotspots and directions derived from keywords. Ultimately, we discussed the prospects and challenges of future advances and clinical translation of drugs designed to enhance skin flap survival. In conclusion, the field of pharmacology dedicated to improving skin flap survival is expanding, and this study aims to offer a fresh perspective to promote the advancement and clinical application of such drugs.

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Molecular immune pathogenesis and diagnosis of COVID-19
Xiaowei Li, Manman Geng, Yizhao Peng, Liesu Meng, Shemin Lu
2020, 10(2): 102-108.  
[Abstract](861) [PDF 2284KB](19)
摘要:
Coronavirus disease 2019 (COVID-19) is a kind of viral pneumonia which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The emergence of SARS-CoV-2 has been marked as the third introduction of a highly pathogenic coronavirus into the human population after the severe acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory syndrome coro-navirus (MERS-CoV) in the twenty-first century. In this minireview, we provide a brief introduction of the general features of SARS-CoV-2 and discuss current knowledge of molecular immune pathogenesis, diagnosis and treatment of COVID-19 on the base of the present understanding of SARS-CoV and MERS-CoV infections, which may be helpful in offering novel insights and potential therapeutic targets for combating the SARS-CoV-2 infection.
Structural basis of SARS-CoV-23CLpro and anti-COVID-19 drug discovery from medicinal plants
Muhammad Tahir ul Qamar, Safar M.Alqahtani, Mubarak A.Alamri, Ling-Ling Chen
2020, 10(4): 313-319.  
[Abstract](1005) [PDF 5841KB](27)
摘要:
The recent pandemic of coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 has raised global health concerns. The viral 3-chymotrypsin-like cysteine protease (3CLpro) enzyme controls coronavirus replication and is essential for its life cycle. 3CLpro is a proven drug discovery target in the case of severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV). Recent studies revealed that the genome sequence of SARS-CoV-2 is very similar to that of SARS-CoV. Therefore, herein, we analysed the 3CLpro sequence, constructed its 3D homology model, and screened it against a medicinal plant library containing 32,297 potential anti-viral phytochemicals/traditional Chinese medicinal compounds. Our analyses revealed that the top nine hits might serve as potential anti- SARS-CoV-2 lead molecules for further optimisation and drug development process to combat COVID-19.
Recent advances and perspectives of nucleic acid detection for coronavirus
Minzhe Shen, Ying Zhou, Jiawei Ye, Abdu Ahmed Abdullah AL-maskri, Yu Kang, Su Zeng, Sheng Cai
2020, 10(2): 97-101.  
[Abstract](726) [PDF 2697KB](14)
摘要:
The recent pneumonia outbreak caused by a novel coronavirus (SARS-CoV-2) is posing a great threat to global public health. Therefore, rapid and accurate identification of pathogenic viruses plays a vital role in selecting appropriate treatments, saving people's lives and preventing epidemics. It is important to establish a quick standard diagnostic test for the detection of the infectious disease (COVID-19) to prevent subsequent secondary spread. Polymerase chain reaction (PCR) is regarded as a gold standard test for the molecular diagnosis of viral and bacterial infections with high sensitivity and specificity. Isothermal nucleic acid amplification is considered to be a highly promising candidate method due to its fundamental advantage in quick procedure time at constant temperature without thermocycler opera-tion. A variety of improved or new approaches also have been developed. This review summarizes the currently available detection methods for coronavirus nucleic acid. It is anticipated that this will assist researchers and clinicians in developing better techniques for timely and effective detection of coro-navirus infection.
Application of microfluidic chip technology in pharmaceutical analysis:A review
Ping Cui, Sicen Wang
2019, 9(4): 238-247.  
[Abstract](315) [PDF 5845KB](17)
摘要:
The development of pharmaceutical analytical methods represents one of the most significant aspects of drug development. Recent advances in microfabrication and microfluidics could provide new approaches for drug analysis, including drug screening, active testing and the study of metabolism. Microfluidic chip technologies, such as lab-on-a-chip technology, three-dimensional (3D) cell culture, organs-on-chip and droplet techniques, have all been developed rapidly. Microfluidic chips coupled with various kinds of detection techniques are suitable for the high-throughput screening, detection and mechanistic study of drugs. This review highlights the latest (2010–2018) microfluidic technology for drug analysis and dis-cusses the potential future development in this field.
Research advances in the detection of miRNA
Jiawei Ye, Mingcheng Xu, Xueke Tian, Sheng Cai, Su Zeng
2019, 9(4): 217-226.  
[Abstract](508) [PDF 6429KB](16)
摘要:
MicroRNAs (miRNAs) are a family of endogenous, small (approximately 22 nucleotides in length), noncoding, functional RNAs. With the development of molecular biology, the research of miRNA bio-logical function has attracted significant interest, as abnormal miRNA expression is identified to contribute to serious human diseases such as cancers. Traditional methods for miRNA detection do not meet current demands. In particular, nanomaterial-based methods, nucleic acid amplification-based methods such as rolling circle amplification (RCA), loop-mediated isothermal amplification (LAMP), strand-displacement amplification (SDA) and some enzyme-free amplifications have been employed widely for the highly sensitive detection of miRNA. MiRNA functional research and clinical diagnostics have been accelerated by these new techniques. Herein, we summarize and discuss the recent progress in the development of miRNA detection methods and new applications. This review will provide guidelines for the development of follow-up miRNA detection methods with high sensitivity and spec-ificity, and applicability to disease diagnosis and therapy.
Structural elucidation of SARS-CoV-2 vital proteins: Computational methods reveal potential drug candidates against main protease, Nsp12 polymerase and Nsp13 helicase
Muhammad Usman Mirza, Matheus Froeyen
2020, 10(4): 320-328.  
[Abstract](442) [PDF 19436KB](12)
摘要:
Recently emerged SARS-CoV-2 caused a major outbreak of coronavirus disease 2019 (COVID-19) and instigated a widespread fear, threatening global health safety. To date, no licensed antiviral drugs or vaccines are available against COVID-19 although several clinical trials are under way to test possible therapies. During this urgent situation, computational drug discovery methods provide an alternative to tiresome high-throughput screening, particularly in the hit-to-lead-optimization stage. Identification of small molecules that specifically target viral replication apparatus has indicated the highest potential towards antiviral drug discovery. In this work, we present potential compounds that specifically target SARS-CoV-2 vital proteins, including the main protease, Nsp12 RNA polymerase and Nsp13 helicase. An integrative virtual screening and molecular dynamics simulations approach has facilitated the identifi-cation of potential binding modes and favourable molecular interaction profile of corresponding com-pounds. Moreover, the identification of structurally important binding site residues in conserved motifs located inside the active site highlights relative importance of ligand binding based on residual energy decomposition analysis. Although the current study lacks experimental validation, the structural infor-mation obtained from this computational study has paved way for the design of targeted inhibitors to combat COVID-19 outbreak.
Carbon nanotubes:Evaluation of toxicity at biointerfaces
Debashish Mohanta, Soma Patnaik, Sanchit Sood, Nilanjan Das
2019, 9(5): 293-300.  
[Abstract](377) [PDF 3216KB](13)
摘要:
Carbon nanotubes (CNTs) are a class of carbon allotropes with interesting properties that make them productive materials for usage in various disciplines of nanotechnology such as in electronics equip-ments, optics and therapeutics. They exhibit distinguished properties viz., strength, and high electrical and heat conductivity. Their uniqueness can be attributed due to the bonding pattern present between the atoms which are very strong and also exhibit high extreme aspect ratios. CNTs are classified as single-walled carbon nanotubes (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) on the basis of number of sidewalls present and the way they are arranged spatially. Application of CNTs to improve the performance of many products, especially in healthcare, has led to an occupational and public exposure to these nanomaterials. Hence, it becomes a major concern to analyze the issues pertaining to the toxicity of CNTs and find the best suitable ways to counter those challenges. This review summarizes the toxicity issues of CNTs in vitro and in vivo in different organ systems (bio interphases) of the body that result in cellular toxicity.
Identification and characterization of phenolics and terpenoids from ethanolic extracts of Phyllanthus species by HPLC-ESI-QTOF-MS/MS
Sunil Kumar, Awantika Singh, Brijesh Kumar
2017, 7(4): 214-222.  
[Abstract](610) [PDF 3923KB](46)
摘要:
Phyllanthus species plants are a rich source of phenolics and widely used due to their medicinal properties. A liquid chromatography–tandem mass spectrometry (LC–MS/MS) method was developed using high-pressure liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (HPLC-ESI-QTOF-MS/MS) for the identification and characterization of quercetin, kaempferol, ellagic acid and their derivatives in ethanolic extracts of Phyllanthus species. The chromatographic separation was carried out on Thermo Betasil C8 column (250 mm×4.5 mm, 5 μm) using 0.1% formic acid in water and 0.1% formic acid in methanol as the mobile phase. The identification of diagnostic fragment ions and optimization of collision energies were carried out using 21 reference standards. Totally 51 compounds were identified which include 21 compounds identified and characterized unambiguously by comparison with their authentic standards and the remaining 30 were tentatively identified and characterized in ethanolic extracts of P. emblica, P. fraternus, P. amarus and P. niruri.
Progress and prediction of multicomponent quantification in complex systems with practical LC-UV methods
Xi Chen, Zhao Yang, Yang Xu, Zhe Liu, Yanfang Liu, Yuntao Dai, Shilin Chen
2023, 13(2): 142-155.   doi: 10.1016/j.jpha.2022.11.011
[Abstract](2259) [PDF 1336KB](1125)
Abstract:
Complex systems exist widely, including medicines from natural products, functional foods, and biological samples. The biological activity of complex systems is often the result of the synergistic effect of multiple components. In the quality evaluation of complex samples, multicomponent quantitative analysis (MCQA) is usually needed. To overcome the difficulty in obtaining standard products, scholars have proposed achieving MCQA through the “single standard to determine multiple components (SSDMC)” approach. This method has been used in the determination of multicomponent content in natural source drugs and the analysis of impurities in chemical drugs and has been included in the Chinese Pharmacopoeia. Depending on a convenient (ultra) high-performance liquid chromatography method, how can the repeatability and robustness of the MCQA method be improved? How can the chromatography conditions be optimized to improve the number of quantitative components? How can computer software technology be introduced to improve the efficiency of multicomponent analysis (MCA)? These are the key problems that remain to be solved in practical MCQA. First, this review article summarizes the calculation methods of relative correction factors in the SSDMC approach in the past five years, as well as the method robustness and accuracy evaluation. Second, it also summarizes methods to improve peak capacity and quantitative accuracy in MCA, including column selection and two-dimensional chromatographic analysis technology. Finally, computer software technologies for predicting chromatographic conditions and analytical parameters are introduced, which provides an idea for intelligent method development in MCA. This paper aims to provide methodological ideas for the improvement of complex system analysis, especially MCQA.
Potential of RP-UHPLC-DAD-MS for the qualitative and quantitative analysis of sofosbuvir in film coated tablets and profiling degradants
María del Mar Contreras, Aránzazu Morales-Soto, Antonio Segura-Carretero, Javier Valverde
2017, 7(4): 208-213.  
[Abstract](103) [PDF 2055KB](51)
Abstract:
Sofosbuvir is one of the new direct-acting antiviral drugs against hepatitis C virus (HCV) infection. This drug has recently been launched into the market, and generic versions of the medication are expected to be produced by local drug producers in some countries. Therefore, new methods are required to control sofosbuvir in pharmaceuticals. In the present study, a new method based on reversed phase (RP)-ultra-high performance liquid chromatography (UHPLC) coupled to diode array detection (DAD) and mass spectrometry (MS) was developed to facilitate the qualitative and quantitative analysis of sofosbuvir in film coated tablets. A wavelength of 260 nm was selected to perform a cost-effective quantification and the method showed adequate linearity, with an R2 value of 0.9998, and acceptable values of accuracy (75%–102%) and precision (residual standard deviation < 5%). The detection and quantification limits were 0.07 μg/mL and 0.36 μg/mL, respectively. Furthermore, the use of high-resolution MS enabled us to ensure the specificity, check impurities and better sensitivity. Therefore, this methodology promises to be suitable not only for the routine analysis of sofosbuvir in pharmaceutical dosage forms, but also for potential degradants.
Single-cell RNA-sequencing and subcellular spatial transcriptomics facilitate the translation of liver microphysiological systems for regulatory application
Dan Li, Zhou Fang, Qiang Shi, Nicholas Zhang, Binsheng Gong, Weida Tong, Ahmet F. Coskun, Joshua Xu
2023, 13(7): 691-693.   doi: 10.1016/j.jpha.2023.06.013
[Abstract](625) [PDF 707KB](305)
Abstract:
Single-cell analyses reveal cannabidiol rewires tumor microenvironment via inhibiting alternative activation of macrophage and synergizes with anti-PD-1 in colon cancer
Xiaofan Sun, Lisha Zhou, Yi Wang, Guoliang Deng, Xinran Cao, Bowen Ke, Xiaoqi Wu, Yanhong Gu, Haibo Cheng, Qiang Xu, Qianming Du, Hongqi Chen, Yang Sun
2023, 13(7): 726-744.   doi: 10.1016/j.jpha.2023.04.013
[Abstract](499) [PDF 9014KB](246)
Abstract:
Colorectal tumors often create an immunosuppressive microenvironment that prevents them from responding to immunotherapy. Cannabidiol (CBD) is a non-psychoactive natural active ingredient from the cannabis plant that has various pharmacological effects, including neuroprotective, antiemetic, anti-inflammatory, and antineoplastic activities. This study aimed to elucidate the specific anticancer mechanism of CBD by single-cell RNA sequencing (scRNA-seq) and single-cell ATAC sequencing (scATAC-seq) technologies. Here, we report that CBD inhibits colorectal cancer progression by modulating the suppressive tumor microenvironment (TME). Our single-cell transcriptome and ATAC sequencing results showed that CBD suppressed M2-like macrophages and promoted M1-like macrophages in tumors both in strength and quantity. Furthermore, CBD significantly enhanced the interaction between M1-like macrophages and tumor cells and restored the intrinsic anti-tumor properties of macrophages, thereby preventing tumor progression. Mechanistically, CBD altered the metabolic pattern of macrophages and related anti-tumor signaling pathways. We found that CBD inhibited the alternative activation of macrophages and shifted the metabolic process from oxidative phosphorylation and fatty acid oxidation to glycolysis by inhibiting the phosphatidylinositol 3-kinase-protein kinase B signaling pathway and related downstream target genes. Furthermore, CBD-mediated macrophage plasticity enhanced the response to anti-programmed cell death protein-1 (PD-1) immunotherapy in xenografted mice. Taken together, we provide new insights into the anti-tumor effects of CBD.
Rabdosia serra alleviates dextran sulfate sodium salt-induced colitis in mice through anti-inflammation, regulating Th17/Treg balance, maintaining intestinal barrier integrity, and modulating gut microbiota
Hongyi Li, Yi Wang, Shumin Shao, Hui Yu, Deqin Wang, Chuyuan Li, Qin Yuan, Wen Liu, Jiliang Cao, Xiaojuan Wang, Haibiao Guo, Xu Wu, Shengpeng Wang
2022, 12(6): 824-838.   doi: 10.1016/j.jpha.2022.08.001
[Abstract](588) [PDF 5798KB](287)
Abstract:
Rabdosia serra (R. serra), an important component of Chinese herbal tea, has traditionally been used to treat hepatitis, jaundice, cholecystitis, and colitis. However, the chemical composition of R. serra and its effect against colitis remain unclear. In this study, the chemical composition of the water extract of R. serra was analyzed using ultra performance liquid chromatography coupled with a hybrid linear ion trap quadrupole-orbitrap mass spectrometer (UPLC-LTQ-Orbitrap-MS). A total of 46 compounds, comprising ent-kaurane diterpenoids, flavonoids, phenolic acids, and steroids, were identified in the water extract of R. serra, and the extract could significantly alleviate dextran sulfate sodium salt-induced colitis by improving colon length, upregulating anti-inflammatory factors, downregulating proinflammatory factors, and restoring the balance of T helper 17/T regulatory cells. R. serra also preserved intestinal barrier function by increasing the level of tight junction proteins (zonula occludens 1 and occludin) in mouse colonic tissue. In addition, R. serra modulated the gut microbiota composition by increasing bacterial richness and diversity, increasing the abundance of beneficial bacteria (Muribaculaceae, Bacteroides, Lactobacillus, and Prevotellaceae_UCG-001), and decreasing the abundance of pathogenic bacteria (Turicibacter, Eubacterium_fissicatena_group, and Eubacterium_xylanophilum_group). Gut microbiota depletion by antibiotics further confirmed that R. serra alleviated colitis in a microbiota-dependent manner. Overall, our findings provide chemical and biological evidence for the potential application of R. serra in the management of colitis.
Development of a CLDN18.2-targeting immuno-PET probe for non-invasive imaging in gastrointestinal tumors
Yan Chen, Xingguo Hou, Dapeng Li, Jin Ding, Jiayue Liu, Zilei Wang, Fei Teng, Hongjun Li, Fan Zhang, Yi Gu, Steven Yu, Xueming Qian, Zhi Yang, Hua Zhu
2023, 13(4): 367-375.   doi: 10.1016/j.jpha.2023.02.011
[Abstract](654) [PDF 2693KB](319)
Abstract:
Claudin18.2 (CLDN18.2) is a tight junction protein that is overexpressed in a variety of solid tumors such as gastrointestinal cancer and oesophageal cancer. It has been identified as a promising target and a potential biomarker to diagnose tumor, evaluate efficacy, and determine patient prognosis. TST001 is a recombinant humanized CLDN18.2 antibody that selectively binds to the extracellular loop of human Claudin18.2. In this study, we constructed a solid target radionuclide zirconium-89 (89Zr) labled-TST001 to detect the expression of in the human stomach cancer BGC823CLDN18.2 cell lines. The [89Zr]Zr-desferrioxamine (DFO)-TST001 showed high radiochemical purity (RCP, >99%) and specific activity (24.15±1.34 GBq/μmol), and was stable in 5% human serum albumin, and phosphate buffer saline (>85% RCP at 96h). The EC50 values of TST001 and DFO-TST001 were as high as 0.413±0.055 and 0.361±0.058nM(P>0.05), respectively. The radiotracer had a significantly higher average standard uptake values in CLDN18.2-positive tumors than in CLDN18.2-negative tumors (1.11±0.02 vs. 0.49±0.03, P=0.0016) 2 days post injection (p.i.). BGC823CLDN18.2 mice models showed high tumor/muscle ratios 96h p.i. with [89Zr]Zr-DFO-TST001 was much higher than those of the other imaging groups. Immunohistochemistry results showed that BGC823CLDN18.2 tumors were highly positive (+++) for CLDN18.2, while those in the BGC823 group did not express CLDN18.2 (-). The results of exvivo biodistribution studies showed that there was a higher distribution in the BGC823CLDN18.2 tumor bearing mice (2.05±0.16 %ID/g) than BGC823 mice (0.69±0.02 %ID/g) and blocking group (0.72±0.02 %ID/g). A dosimetry estimation study showed that the effective dose of [89Zr]Zr-DFO-TST001 was 0.0705 mSv/MBq, which is within the range of acceptable doses for nuclear medicine research. Taken together, these results suggest that Good Manufacturing Practices produced by this immuno-positron emission tomography probe can detect CLDN18.2-overexpressing tumors.
Ginsenoside Rk3 is a novel PI3K/AKT-targeting therapeutics agent that regulates autophagy and apoptosis in hepatocellular carcinoma
Linlin Qu, Yannan Liu, Jianjun Deng, Xiaoxuan Ma, Daidi Fan
2023, 13(5): 463-482.   doi: 10.1016/j.jpha.2023.03.006
[Abstract](588) [PDF 12621KB](288)
Abstract:
Hepatocellular carcinoma (HCC) is the third leading cause of cancer death worldwide. Ginsenoside Rk3, an important and rare saponin in heat-treated ginseng, is generated from Rg1 and has a smaller molecular weight. However, the anti-HCC efficacy and mechanisms of ginsenoside Rk3 have not yet been characterized. Here, we investigated the mechanism by which ginsenoside Rk3, a tetracyclic triterpenoid rare ginsenoside, inhibits the growth of HCC. We first explored the possible potential targets of Rk3 through network pharmacology. Both in vitro (HepG2 and HCC-LM3 cells) and in vivo (primary liver cancer mice and HCC-LM3 subcutaneous tumor-bearing mice) studies revealed that Rk3 significantly inhibits the proliferation of HCC. Meanwhile, Rk3 blocked the cell cycle in HCC at the G1 phase and induced autophagy and apoptosis in HCC. Further proteomics and siRNA experiments showed that Rk3 regulates the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) pathway to inhibit HCC growth, which was validated by molecular docking and surface plasmon resonance. In conclusion, we report the discovery that ginsenoside Rk3 binds to PI3K/AKT and promotes autophagy and apoptosis in HCC. Our data strongly support the translation of ginsenoside Rk3 into novel PI3K/AKT-targeting therapeutics for HCC treatment with low toxic side effects.
Multidisciplinary strategies to enhance therapeutic effects of flavonoids from Epimedii Folium: Integration of herbal medicine, enzyme engineering, and nanotechnology
Yi Lu, Qiulan Luo, Xiaobin Jia, James P. Tam, Huan Yang, Yuping Shen, Xin Li
2023, 13(3): 239-254.   doi: 10.1016/j.jpha.2022.12.001
[Abstract](778) [PDF 3796KB](387)
Abstract:
Flavonoids such as baohuoside I and icaritin are the major active compounds in Epimedii Folium (EF) and possess excellent therapeutic effects on various diseases. Encouragingly, in 2022, icaritin soft capsules were approved to reach the market for the treatment of hepatocellular carcinoma (HCC) by National Medical Products Administration (NMPA) of China. Moreover, recent studies demonstrate that icaritin can serve as immune-modulating agent to exert anti-tumor effects. Nonetheless, both production efficiency and clinical applications of epimedium flavonoids have been restrained because of their low content, poor bioavailability, and unfavorable in vivo delivery efficiency. Recently, various strategies, including enzyme engineering and nanotechnology, have been developed to increase productivity and activity, improve delivery efficiency, and enhance therapeutic effects of epimedium flavonoids. In this review, the structure-activity relationship of epimedium flavonoids is described. Then, enzymatic engineering strategies for increasing the productivity of highly active baohuoside I and icaritin are discussed. The nanomedicines for overcoming in vivo delivery barriers and improving therapeutic effects of various diseases are summarized. Finally, the challenges and an outlook on clinical translation of epimedium flavonoids are proposed.
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